PR84441

SHENZHEN, China, June 17, 2020 /PRNewswire=KYODO JBN/ --

- Ramesh Jain - Father of Multimedia Computing Appointed as Chief Technical

Advisor of Huami AI Research Institute, Announced on Huami's 1st Innovation

Conference "AI to Decode Future"

The Global Top 5 wearable brand[1], Amazfit's mother company, Huami (NYSE: HMI)

, made its second wearable AI chip Huangshan-2 public on its first Innovation

Conference "AI to Decode Future". Besides, multiple hardware and a series of

Big Data and AI solutions regarding healthcare were announced. Ramesh Jain, the

industry famed the Father of Multimedia computing was announced as chief

technical advisor of Huami AI Research Institute.

Photo - https://photos.prnasia.com/prnh/20200617/2833734-1

The Wearable AI Chip, Huangshan-2(MHS002) Launched.

As the platinum member of RISC-V, Huami has wide-ranging technology

accumulation and investment layout in the field of semiconductors. In 2018,

Huami launched the world's first[2] RISC-V open-source instruction set wearable

processor, Huangshan No.1 (MHS001), featuring four core artificial intelligence

engines -- cardiac biometrics engine, ECG, ECG Pro, and Hearth Rhythm

Abnormality Monitoring Engine.

After 450 days, Huami unveils its next generation of AI chip, the Huami

Huangshan-2(MHS002). Based on the RISC-V architecture, Huami

Huangshan-2(MHS002) features high computing efficiency and low power

consumption. Huangshan-2 detects atrial fibrillation 7 times faster than

Huangshan-1 and 26 times faster than similar algorithms. Huangshan-2 also has

on board the Always On (AON) sensor mode with ultra-low power consumption

thanks to the NPU (Neural-network Processing Unit) and the C2 co-processor.

Theoretically, it can reduce the overall power consumption of Huangshan 2 by

50%, making a longer battery life for products.

Huangshan-2(MHS002) is scheduled for mass production in Q4 of 2020. New

wearable devices equipped with the Huangshan-2 will be hopefully available on

Huami's products in the first half of 2021.

BioTracker(TM) 2, the Second-generation PPG Bio-tracking Optical Sensor by

Huami

Huami has been developing its own PPG bio-tracking optical sensor in the past

years, which are known by its high accuracy. Compared with its predecessor, the

newly launched, BioTracker(TM) 2 supports five biological data engines

(RealBeats(TM}, OxygenBeats(TM), SomnusCare(TM), ExerSense(TM), and

huami-PAI(TM)), making it the most versatile and precise biosensor ever

developed by Huami.

Five Key Data Engines[3] Contribute to Huami's AI Health Management Platform

To let human pursue the full health rights as the most, Huami's Systematic AI

Health Management Platform incorporate the AI chipset, Huangshan-2(MHS002), the

new PPG sensor BioTracker(TM) 2 and also five key index and data engines.

- RealBeats(TM) 2, the advanced AI bio data engine for heart rate monitoring.

It eliminates the noise interference to heart rate signals during workout and

is capable of monitoring atrial fibrillation for 1.87 times as long as the last

generation at night and 6.64 times in the day. it achieved automatic AI-based

detection of AVRT and frequent PVC through a heart health Big Data model.

- OxygenBeats(TM), Huami self-developed oxygen data AI engine. The success rate

of is 100% in contrast to less than 90% seen in similar products. Compared with

the results of professional oxygen analyzers, the average error is only 1.67%,

reflecting accuracy superior to that of most wearable wrist devices for blood

oxygen detection. OxygenBeats(TM) has applied to the follow-up visits with

recovered COVID-19 patients conducted by Nanshan Zhong's medical team. Smart

watches equipped with OxygenBeatsTM are expected to be available in Q3 of this

year (2020).

- SomnusCare(TM), an AI-driven biological data engine. The accuracy of sleep

data detection exceeds 80%, and it is possible to detect naps over 25 minutes

with nearly 100% accuracy. Furthermore, the OxygenBeatsTM, through sleep state

analysis and blood oxygen saturation detection, can recognize the sleep apnea

syndrome (SAS), an "invisible killer" to human health, and warn the user to

take prompt measures.

- ExerSense(TM), an AI recognition engine for motion patterns based on sports

big data. This engine can match motion models in real time by detecting data

with the motion sensor and heart rate sensor on Huami's wearables, and then

intelligently determine the exercise mode of a user. At present, ExerSense(TM)

can automatically detect 19 exercise modes, including walking, running,

cycling, and swimming, which cover 95% of daily exercise scenarios of users.

Users do not need to perform tedious manual operations, but can enjoy senseless

selection of smart exercise modes.

- huami-PAI(TM), an explicit PAI score that can reflect the user's heart rate

data, together with the daily motion time and other health data, allowing users

to monitor their workout and heart healthy status. huami-PAI(TM) can guide

users to create highly personalized health assessment systems using private bio

data such as age, gender, and resting heart rate. huami-PAI(TM) is based on the

HUNT Fitness Study, which helps to reduce the cardiovascular mortality rate and

improve life expectancy. The study, led by Professor Ulrik Wisloff at Faculty

of Medicine of the Norwegian University of Science and Technology, took 35

years with more than 230,000 participants.

Ramesh Jain appointed the Chief Technical Advisor of Huami AI Research Institute

Mr. Wang Huang, the Company's Chairman and CEO, announced the establishment of

Huami AI Research Institute. Ramesh Jain, a renowned AI expert, Father of

Multimedia Computing, Professor at University of California, Irvine, and

Founder of UCI Institute for Future Health was appointed as the chief technical

advisor of the Huami AI Research Institute.

In the first half of 2020, Huami has set up three joint laboratories: The Smart

Wrist Wearable Device Joint Lab with the team of Zhong Nanshan; the Track and

Field Joint Lab with the Chinese Athletics Association; and the Brain-Computer

Intelligence Joint Lab with the Institute of Advanced Technology, University of

Science and Technology of China.

[1] Huami ranked the top 5 in both global watch shipment and market share,

according to data from the International Data Corporation (IDC) Worldwide

Quarterly Wearable Device Tracker

[2] https://riscv.org/membership/6144/huami/

[3] This is not a medical device and is not intended for use in the diagnosis

or monitoring of any medical condition

SOURCE  Huami

Image Attachments Links:

   Link: http://asianetnews.net/view-attachment?attach-id=365571

   Caption: Mr. Wang Huang announced the Wearable Device Chip Huangshan-2 and Prof. Ramesh

Jain as the Chief Technical Advisor of Huami AI Research Institute